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trl-lib/qwen1.5-0.5b-sft - GGUF

This repo contains GGUF format model files for trl-lib/qwen1.5-0.5b-sft.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename Quant type File Size Description
qwen1.5-0.5b-sft-Q2_K.gguf Q2_K 0.247 GB smallest, significant quality loss - not recommended for most purposes
qwen1.5-0.5b-sft-Q3_K_S.gguf Q3_K_S 0.266 GB very small, high quality loss
qwen1.5-0.5b-sft-Q3_K_M.gguf Q3_K_M 0.283 GB very small, high quality loss
qwen1.5-0.5b-sft-Q3_K_L.gguf Q3_K_L 0.297 GB small, substantial quality loss
qwen1.5-0.5b-sft-Q4_0.gguf Q4_0 0.307 GB legacy; small, very high quality loss - prefer using Q3_K_M
qwen1.5-0.5b-sft-Q4_K_S.gguf Q4_K_S 0.309 GB small, greater quality loss
qwen1.5-0.5b-sft-Q4_K_M.gguf Q4_K_M 0.319 GB medium, balanced quality - recommended
qwen1.5-0.5b-sft-Q5_0.gguf Q5_0 0.346 GB legacy; medium, balanced quality - prefer using Q4_K_M
qwen1.5-0.5b-sft-Q5_K_S.gguf Q5_K_S 0.346 GB large, low quality loss - recommended
qwen1.5-0.5b-sft-Q5_K_M.gguf Q5_K_M 0.352 GB large, very low quality loss - recommended
qwen1.5-0.5b-sft-Q6_K.gguf Q6_K 0.387 GB very large, extremely low quality loss
qwen1.5-0.5b-sft-Q8_0.gguf Q8_0 0.499 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/qwen1.5-0.5b-sft-GGUF --include "qwen1.5-0.5b-sft-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/qwen1.5-0.5b-sft-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
10
GGUF
Model size
464M params
Architecture
qwen2

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Unable to determine this model's library. Check the docs .

Model tree for tensorblock/qwen1.5-0.5b-sft-GGUF

Base model

Qwen/Qwen1.5-0.5B
Quantized
(1)
this model

Dataset used to train tensorblock/qwen1.5-0.5b-sft-GGUF